Information cocooning and polarization of opinions in a mobile population

IF 3.3 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY Physica A: Statistical Mechanics and its Applications Pub Date : 2025-02-01 Epub Date: 2024-12-29 DOI:10.1016/j.physa.2024.130322
Dong Jiang , Qionglin Dai , Haihong Li , Junzhong Yang
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Abstract

Information cocooning, referring to the phenomena that individuals become trapped in self-imposed cocoons by only encountering and accepting information that aligns with their own opinions, may hinder the normal dissemination of information. Numerous studies focused on how information cocoons emerge and how to avoid their disadvantages. In previous works, it is usually assumed that individuals are well-mixed in a population or located statically on certain regular or complex networks. Here, we explore the phenomena of information cocooning and opinion polarization among individuals who exhibit directional migration, favoring movement towards neighbors with similar opinions. In scenarios without migration, the social radius is a pivotal parameter that influences the development of various opinion dynamics, including neutral consensus, radicalization, and polarization. When directional migration is introduced, information cocooning can occur, leading to the fragmentation of the population into distinct opinion clusters that are spatially distant from one another. Within each cluster, radicalization of opinions is a common phenomenon. However, when considering the population as a whole, opinion dynamics may encompass polarization and consensus. We investigate the impact of the social radius and migration speed on the formation of information cocooning. We find that, the number of opinion clusters decreases with the increase of social radius. Moreover, a small social radius leads to more opinion clusters but milder opinions, whereas large ones result in less number of opinion clusters with more individuals holding radical opinions. This work can help us better understand the formation of information cocoons and opinion polarization in real life.
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流动人口中的信息茧化与意见极化
信息茧化是指个体只接触和接受与自己观点一致的信息,从而陷入自我强加的茧中,可能阻碍信息的正常传播。大量的研究集中在信息茧是如何产生的以及如何避免它们的缺点。在以前的工作中,通常假设个体在群体中混合良好,或者静态地位于某些规则或复杂的网络中。在这里,我们探讨了定向迁移个体之间的信息茧化和意见极化现象,这些个体倾向于向具有相似意见的邻居移动。在没有移民的情况下,社会半径是影响各种意见动态发展的关键参数,包括中立共识、激进化和两极分化。当引入定向迁移时,可能会发生信息茧化,导致人口分裂成空间上彼此相距遥远的不同意见集群。在每个集群中,观点的激进化是一种普遍现象。然而,当考虑到整个人口时,舆论动态可能包括两极分化和共识。研究了社会半径和迁移速度对信息茧形成的影响。我们发现,随着社会半径的增加,意见簇的数量减少。此外,小的社会半径导致更多的意见集群,但意见较为温和,而大的社会半径导致意见集群数量较少,更多的人持有激进的意见。这项工作可以帮助我们更好地理解现实生活中信息茧的形成和意见两极分化。
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来源期刊
CiteScore
7.20
自引率
9.10%
发文量
852
审稿时长
6.6 months
期刊介绍: Physica A: Statistical Mechanics and its Applications Recognized by the European Physical Society Physica A publishes research in the field of statistical mechanics and its applications. Statistical mechanics sets out to explain the behaviour of macroscopic systems by studying the statistical properties of their microscopic constituents. Applications of the techniques of statistical mechanics are widespread, and include: applications to physical systems such as solids, liquids and gases; applications to chemical and biological systems (colloids, interfaces, complex fluids, polymers and biopolymers, cell physics); and other interdisciplinary applications to for instance biological, economical and sociological systems.
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